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Case study

How DataToBiz’s Staff Augmentation Services Fueled A Data-Driven Digital Transformation5.0 rating5 Stars Rated On Clutch

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Staff Onboarded within 10 days of collab
How DataToBiz’s Staff Augmentation Services Fueled A Data-Driven Digital Transformation

Industry

Media & Entertainment

Services Used

Business Intelligence (BI), Data Analytics, Data Centralization, Data Warehousing, Digital Transformation

Region

Asia-Pacific

Engagement Model

Staff/Resource Augmentation

Function/Department

Human Resources (HR), Strategy and Planning

Summarize with AI:

Exploring the advances of our Staff Augmentation services that helped the client harness data potential to drive business growth. By implementing robust data analytics, and fostering a culture of informed decision-making, DataToBiz helped its client become a data-driven organization.

About Client

  • A multinational B2B advertising and PR agency headquartered in Tokyo, Japan, with a remarkable legacy of over 100 years. It is ranked among the top 10 largest advertising agency networks globally by annual revenues.
  • The agency specializes in content marketing, commercials, campaigns, CXM, and Media Relations, offering marketing and communication solutions to clients worldwide.
  • With a global presence and an extensive network of offices including India, the company has a diverse team of creative professionals, reinforcing its leadership in the advertising and PR industry.

Problem STATEMENT

The Indian branch of the B2B advertising and PR agency partnered with DataToBiz to assemble a team of experts in Data Engineering and related solutions within a strict timeline!

  • Limited time constraints in assembling a team of 15 individuals with expertise in Data Engineering, Business Intelligence, and Artificial Intelligence within a limited timeframe of 15 days.
  • Finding candidates with a diverse skill set encompassing Data Engineering, Business Intelligence, and Artificial Intelligence poses a difficulty due to the specialized nature of these skill sets and the need to build a well-rounded team.
  • Ensuring high-quality candidates despite the time constraint was a significant roadblock faced by the client, as they strive to become more data-driven and enhance their decision-making processes.

Solution

We provided a tailored staff augmentation solution to meet their specific needs. Here’s how we transformed their data analytics and BI capabilities:

  • Expert Talent Acquisition : We assembled a talent pool consisting of data scientists, data analysts, BI developers, and data engineers specializing in data analytics, data visualization, and BI development to ensure we had the right expertise to support clients’ requirements.
  • Seamless Integration and Collaboration : Our team seamlessly integrated with the client’s existing data analytics team, fostering collaboration and knowledge sharing. We worked closely with their in-house staff to understand their business goals, data sources, and key performance indicators, ensuring a holistic approach to data analytics.
  • Enterprise Data Warehousing (EDW) Solution : Our team established an automated ETL and Data Warehousing system, consolidating data from 10+ sources. This powerful EDW forms the foundation for building descriptive and predictive analytics solutions.
  • Actionable Data Visualization : Utilizing leading BI visualization tools, we transformed complex data into intuitive visual dashboards and reports. These visuals empowered the client’s stakeholders to grasp key insights at a glance and make data-driven decisions accordingly..
  • Advanced Analytics Implementation : Our experts implemented advanced analytics techniques, leveraging ML algorithms and predictive models to uncover valuable insights from the client’s vast datasets. We helped them identify customer behavior patterns, optimize inventory management, and create customer-centric marketing campaigns

Business Impact

Leveraging our staff augmentation services, the organization led to a data-driven transformation.

  • Through our staff augmentation model, the client reduced their hiring and operational costs by 25%, avoiding the overhead of hiring full-time employees while maintaining the flexibility to scale based on project demands.
  • Utilizing our bench resources, the client increased their team size by 15+ members within 10 days, enabling them to execute multiple projects in parallel without delays.
  • Streamlining data analytics workflows reduced manual effort by 1/2, allowing the client’s team to dedicate over 20 hours weekly to strategic PR initiatives and value-added tasks.

In collaboration with DataToBiz, the client successfully transformed into a data-driven organization. By addressing challenges related to data silos, analytics expertise, and decision-making, we enabled them to achieve enhanced operational efficiency, better customer experiences, and revenue growth, ultimately solidifying the success of their data transformation journey.

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Frequently Asked Questions(FAQs)

How do I know if a solution like this is right for my business?

A solution like this is a good fit if your teams spend more time collecting and reconciling data than acting on it, if reports from different departments do not match, or if decisions depend on delayed or manual reporting. It also fits when your data is growing in volume or sources, and your current setup struggles to keep up.

DataToBiz starts with a discovery call to review your goals, data sources, and reporting gaps. You get a clear view of the expected outcomes, effort, and timeline before any commitment.

Can DataToBiz customize the solution for my industry and current data setup?

Yes. Every solution DataToBiz delivers is configured around your industry, business processes, and existing data environment. The team assesses your current systems, data quality, and reporting needs first, then designs a solution that works with what you already have instead of replacing it. This applies across industries such as manufacturing, retail, healthcare, finance, and logistics, and across setups ranging from legacy databases to cloud data platforms.

Which tools, platforms, and data sources does DataToBiz work with?

DataToBiz works across the major analytics, cloud, and data engineering stacks. For BI and visualization, this includes Power BI, Tableau, and Looker. For cloud platforms, it includes Microsoft Azure, AWS, and Google Cloud. For data warehousing and processing, it includes Snowflake, Databricks, and SQL-based databases. Data sources include ERP and CRM systems, spreadsheets, APIs, IoT and sensor data, and third-party applications.

If your stack includes a tool not listed here, the team can assess compatibility during discovery.

How long does a project like this take with DataToBiz?

Most projects with DataToBiz take from a few weeks to a few months. The timeline depends on how ready your data infrastructure is for the initiative and how many systems need to connect. Smaller solutions go live quickly, while larger programs roll out in phases so you see value early. After an initial discovery call, you receive a timeline with clear milestones.

How does DataToBiz keep my data secure and compliant during the entire engagement?

Security and governance is part of the plan from the first conversation. DataToBiz works within your security policies and follows the regulations that apply to your industry. The project usually Access stays limited to the people who need it, and confidentiality terms cover the engagement from kickoff to handover.

What support and results can I expect after the solution goes live?

The work does not stop at go-live. Your team gets a proper handover and guidance on using the solution, and DataToBiz stays available for questions and improvements. The business impact of the project is measured against the goals set at the start, so you can see exactly what changed for your company.

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